Fuzzy cognitive maps as a back end to knowledge-based systems in geographically dispersed financial organizations

2004 ◽  
Vol 11 (2) ◽  
pp. 137-154 ◽  
Author(s):  
George Xirogiannis ◽  
Michael Glykas ◽  
Christos Staikouras
Keyword(s):  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Geographically Dispersed

scholarly journals FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps

2018 ◽  
Vol 27 (07) ◽  
pp. 1860010 ◽  
Author(s):  
Gonzalo Nápoles ◽  
Maikel Leon Espinosa ◽  
Isel Grau ◽  
Koen Vanhoof
Keyword(s):  
Pattern Classification ◽  
Scenario Analysis ◽  
Cognitive Modeling ◽  
Software Tool ◽  
Cognitive Maps ◽  
Machine Learning Algorithms ◽  
Fuzzy Cognitive Maps ◽  
Software Products ◽  
Knowledge Based ◽  
The Rich

Fuzzy Cognitive Maps (FCMs) have become a suitable and proven knowledge-based methodology for systems modeling and simulation. This technique is especially attractive when modeling systems characterized by ambiguity, and/or non-trivial causalities among its variables. The rich literature that is found related to FCMs reports very clearly many successful studies solved through the use of FCMs; however, when it comes to software implementations, where domain experts can design FCM-based systems, run simulations or perform more advanced experiments, not much is found or documented. The few existing implementations are not proficient in providing options for experimentation. Therefore, we believe that a gap exists, specifically between the theoretical advances and the development of accurate, transparent and sound FCM-based systems; and we advocate for the creation of more complete and exible software products. The goal of this paper is to introduce “FCM Expert”, a software tool for fuzzy cognitive modeling, where we focus on scenario analysis and pattern classification. The main features of FCM Expert rely on Machine Learning algorithms to compute the parameters that might define a model, optimize its network topology and improve the system convergence without losing information. Also, FCM Expert allows performing WHAT-IF simulations and studying the system behavior through a friendly, intuitive and easy-to-use graphical user interface.

Book review: Introduction to Knowledge Based Systems

IEE Review ◽  
1988 ◽  
Vol 34 (1) ◽  
pp. 36
Author(s):  
S.H. Lavington
Keyword(s):  
Knowledge Based Systems ◽  
Knowledge Based
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